NoSQL No sweat with JBoss Data Grid

JBoss Webinar

NoSQL: No sweat with JBoss Data Grid

On demand

Part of the JBoss Developer Webinar Series.

Join us for a webinar to learn how web applications can achieve true big data scale with Red Hat® JBoss® Data Grid. Red Hat's Tristan Tarrant and Shane Johnson will demonstrate the best approach for developers seeking to easily get up and running with JBoss Data Grid.

Scale, elasticity, flexibility, low latencies, fault tolerance. These are all things we expect from our modern cloud, Platform-as-a-Service (PaaS), and web application deployments. Tristan and Shane will discuss why these characteristics are crucial to high-performing deployments and show how data grids are the perfect solution to these uniquely big data challenges.

Of course, the value of data grid solutions is limited if there is no standardization. Historically, the enterprise Java™ ecosystem has suffered this lack of standards for data grid solutions. Now, with JSR 347, the wait is finally over. Tristan, lead engineer of JBoss Data Grid, will share with you what to expect from JSR 347, the future of data grids for the Java platform, and how these standards are set to turbocharge enterprise Java.


Tristan Tarrant, principal software engineer, JBoss, Red Hat
Tristan Tarrant has been an active contributor to JBoss and open source projects for many years.  He is responsible for leading the engineering efforts of JBoss Data Grid. Tristan has been involved with Big Data and Big Data solutions since 1995, when he specialized in parallel architectures to earn his MSc degree from the University of Edinburgh. He is a passionate advocate of open source and open standards.

Shane Johnson, product manager, Red Hat
Shane Johnson is responsible for technical marketing strategy and content delivery for JBoss Enterprise Application Platform and JBoss Data Grid. Previously, he served as a Java EE architect and subject matter expert for JBoss Data Grid, working with enterprise customers in the financial and telecommunications industries to integrate data grids into their solutions. His interest in NoSQL began when he published his first NoSQL blog post in the fall of 2009 and has grown ever since.


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